|
2020 Journal Article Advanced treatment technologies efficacies and mechanism of per- and poly-fluoroalkyl substances removal from waterAhmed, Mohammad Boshir, Alam, Md. Masruck, Zhou, John L., Xu, Bentuo, Johir, Md Abu Hasan, Karmakar, Aneek Krishna, Rahman, Md. Saifur, Hossen, Jewel, Hasan, A.T.M. Kamrul and Moni, Mohammad Ali (2020). Advanced treatment technologies efficacies and mechanism of per- and poly-fluoroalkyl substances removal from water. Process Safety and Environmental Protection, 136, 1-14. doi: 10.1016/j.psep.2020.01.005 |
|
2020 Journal Article Computational prediction of protein ubiquitination sites mapping on Arabidopsis thalianaMosharaf, Md. Parvez, Hassan, Md. Mehedi, Ahmed, Fee Faysal, Khatun, Mst. Shamima, Moni, Mohammad Ali and Mollah, Md. Nurul Haque (2020). Computational prediction of protein ubiquitination sites mapping on Arabidopsis thaliana. Computational Biology and Chemistry, 85 107238, 107238. doi: 10.1016/j.compbiolchem.2020.107238 |
|
2020 Journal Article Identification of molecular signatures and pathways to identify novel therapeutic targets in Alzheimer's disease: Insights from a systems biomedicine perspectiveRahman, Md. Rezanur, Islam, Tania, Zaman, Toyfiquz, Shahjaman, Md., Karim, Md. Rezaul, Huq, Fazlul, Quinn, Julian M.W., Holsinger, R.M. Damian, Gov, Esra and Moni, Mohammad Ali (2020). Identification of molecular signatures and pathways to identify novel therapeutic targets in Alzheimer's disease: Insights from a systems biomedicine perspective. Genomics, 112 (2), 1290-1299. doi: 10.1016/j.ygeno.2019.07.018 |
|
2020 Journal Article Network-based genetic profiling reveals cellular pathway differences between follicular thyroid carcinoma and follicular thyroid adenomaHossain, Md. Ali, Asa, Tania Akter, Rahman, Md. Mijanur, Uddin, Shahadat, Moustafa, Ahmed A., Quinn, Julian M. W. and Moni, Mohammad Ali (2020). Network-based genetic profiling reveals cellular pathway differences between follicular thyroid carcinoma and follicular thyroid adenoma. International Journal of Environmental Research and Public Health, 17 (4) 1373, 1373. doi: 10.3390/ijerph17041373 |
|
2020 Journal Article A network-based bioinformatics approach to identify molecular biomarkers for type 2 diabetes that are linked to the progression of neurological diseasesRahman, Md Habibur, Peng, Silong, Hu, Xiyuan, Chen, Chen, Rahman, Md Rezanur, Uddin, Shahadat, Quinn, Julian M. W. and Moni, Mohammad Ali (2020). A network-based bioinformatics approach to identify molecular biomarkers for type 2 diabetes that are linked to the progression of neurological diseases. International Journal of Environmental Research and Public Health, 17 (3) 1035, 1-25. doi: 10.3390/ijerph17031035 |
|
2020 Journal Article A framework to understand the progression of cardiovascular disease for type 2 diabetes mellitus patients using a network approachHossain, Md Ekramul, Uddin, Shahadat, Khan, Arif and Moni, Mohammad Ali (2020). A framework to understand the progression of cardiovascular disease for type 2 diabetes mellitus patients using a network approach. International Journal of Environmental Research and Public Health, 17 (2) 596, 596. doi: 10.3390/ijerph17020596 |
|
2020 Book Chapter Methods for the analysis of micro-pollutantsAhmed, M. B., Johir, M. A.H., Ngo, Huu Hao, Guo, Wenshan, Zhou, J. L., Belhaj, D. and Moni, M. A. (2020). Methods for the analysis of micro-pollutants. Current Developments in Biotechnology and Bioengineering: Emerging Organic Micro-pollutants. (pp. 63-86) Amsterdam, Netherlands: Elsevier. doi: 10.1016/B978-0-12-819594-9.00004-8 |
|
2020 Journal Article Identification of the core ontologies and signature genes of polycystic ovary syndrome (PCOS): a bioinformatics analysisIslam, Md Rakibul, Ahmed, Md Liton, Kumar Paul, Bikash, Bhuiyan, Touhid, Ahmed, Kawsar and Moni, Mohammad Ali (2020). Identification of the core ontologies and signature genes of polycystic ovary syndrome (PCOS): a bioinformatics analysis. Informatics in Medicine Unlocked, 18 100304, 100304. doi: 10.1016/j.imu.2020.100304 |
|
2020 Journal Article A systems biology approach to identifying genetic factors affected by aging, lifestyle factors, and type 2 diabetes that influences Parkinson's disease progressionSakib, Najmus, Chowdhury, Utpala Nanda, Islam, M. Babul, Ahmad, Shamim and Moni, Mohammad Ali (2020). A systems biology approach to identifying genetic factors affected by aging, lifestyle factors, and type 2 diabetes that influences Parkinson's disease progression. Informatics in Medicine Unlocked, 21 100448, 100448. doi: 10.1016/j.imu.2020.100448 |
|
2020 Journal Article Network-based computational approach to identify delineating common cell pathways influencing type 2 diabetes and diseases of bone and jointsMoni, Mohammad Ali, Islam, M. Babul, Rahman, Md Rezanur, Rashed-Al-Mahfuz, Md, Awal, Md Abdul, Islam, Sheikh Mohammed Shariful, Mollah, Md. Nurul Haque and Quinn, Julian M. W. (2020). Network-based computational approach to identify delineating common cell pathways influencing type 2 diabetes and diseases of bone and joints. IEEE Access, 8 8941110, 1486-1497. doi: 10.1109/ACCESS.2019.2962091 |
|
2020 Journal Article Network-based identification of genetic factors in ageing, lifestyle and type 2 diabetes that influence to the progression of Alzheimer's diseaseChowdhury, Utpala Nanda, Islam, M. Babul, Ahmad, Shamim and Moni, Mohammad Ali (2020). Network-based identification of genetic factors in ageing, lifestyle and type 2 diabetes that influence to the progression of Alzheimer's disease. Informatics in Medicine Unlocked, 19 100309, 100309. doi: 10.1016/j.imu.2020.100309 |
|
2020 Journal Article Systems biology and bioinformatics approach to identify gene signatures, pathways and therapeutic targets of Alzheimer's diseaseChowdhury, Utpala Nanda, Islam, M. Babul, Ahmad, Shamim and Moni, Mohammad Ali (2020). Systems biology and bioinformatics approach to identify gene signatures, pathways and therapeutic targets of Alzheimer's disease. Informatics in Medicine Unlocked, 21 100439, 100439. doi: 10.1016/j.imu.2020.100439 |
|
2019 Journal Article Comparing different supervised machine learning algorithms for disease predictionUddin, Shahadat, Khan, Arif, Hossain, Md Ekramul and Moni, Mohammad Ali (2019). Comparing different supervised machine learning algorithms for disease prediction. BMC Medical Informatics and Decision Making, 19 (1) 281. doi: 10.1186/s12911-019-1004-8 |
|
2019 Journal Article Bioinformatics methodologies to identify interactions between Type 2 diabetes and neurological comorbiditiesRahman, Md Habibur, Peng, Silong, Hu, Xiyuan, Chen, Chen, Uddin, Shahadat, Quinn, Julian M. W. and Moni, Mohammad Ali (2019). Bioinformatics methodologies to identify interactions between Type 2 diabetes and neurological comorbidities. IEEE Access, 7 8933380, 183948-183970. doi: 10.1109/ACCESS.2019.2960037 |
|
2019 Journal Article Machine learning and bioinformatics models to identify gene expression patterns of ovarian cancer associated with disease progression and mortalityHossain, Md. Ali, Saiful Islam, Sheikh Muhammad, Quinn, Julian M.W., Huq, Fazlul and Moni, Mohammad Ali (2019). Machine learning and bioinformatics models to identify gene expression patterns of ovarian cancer associated with disease progression and mortality. Journal of Biomedical Informatics, 100 103313, 103313. doi: 10.1016/j.jbi.2019.103313 |
|
2019 Conference Publication Comorbidity effects of mitochondrial dysfunction to the progression of neurological disorders: Insights from a systems biomedicine perspectiveSatu, Md. Shahriare, Chandra Howlader, Koushik, Niamat Ullah Akhund, Tajim Md., Quinn, Julian M.W., Lio, Pietro and Moni, Mohammad Ali (2019). Comorbidity effects of mitochondrial dysfunction to the progression of neurological disorders: Insights from a systems biomedicine perspective. 2019 22nd International Conference on Computer and Information Technology (ICCIT), Dhaka, Bangladesh, 18-20 December 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICCIT48885.2019.9038388 |
|
2019 Journal Article Machine learning-based models for early stage detection of autism spectrum disordersAkter, Tania, Shahriare Satu, Md., Khan, Md. Imran, Ali, Mohammad Hanif, Uddin, Shahadat, Lio, Pietro, Quinn, Julian M.W. and Moni, Mohammad Ali (2019). Machine learning-based models for early stage detection of autism spectrum disorders. IEEE Access, 7 8895818, 166509-166527. doi: 10.1109/ACCESS.2019.2952609 |
|
2019 Journal Article Mapping 123 million neonatal, infant and child deaths between 2000 and 2017Burstein, Roy, Henry, Nathaniel J., Collison, Michael L., Marczak, Laurie B., Sligar, Amber, Watson, Stefanie, Marquez, Neal, Abbasalizad-Farhangi, Mahdieh, Abbasi, Masoumeh, Abd-Allah, Foad, Abdoli, Amir, Abdollahi, Mohammad, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abrigo, Michael R. M., Acharya, Dilaram, Adebayo, Oladimeji M., Adekanmbi, Victor, Adham, Davoud, Afshari, Mahdi, Aghaali, Mohammad, Ahmadi, Keivan, Ahmadi, Mehdi, Ahmadpour, Ehsan, Ahmed, Rushdia, Akal, Chalachew Genet, Akinyemi, Joshua O., Alahdab, Fares, Alam, Noore ... Hay, Simon I. (2019). Mapping 123 million neonatal, infant and child deaths between 2000 and 2017. Nature, 574 (7778), 353-358. doi: 10.1038/s41586-019-1545-0 |
|
2019 Journal Article A computational approach to identify blood cell-expressed Parkinson's disease biomarkers that are coordinately expressed in brain tissueMoni, Mohammad Ali, Rana, Humayan Kabir, Islam, M. Babul, Ahmed, Mohammad Boshir, Xu, Haoming, Hasan, Md Al Mehedi, Lei, Yiming and Quinn, Julian M.W. (2019). A computational approach to identify blood cell-expressed Parkinson's disease biomarkers that are coordinately expressed in brain tissue. Computers in Biology and Medicine, 113 103385, 103385. doi: 10.1016/j.compbiomed.2019.103385 |
|
2019 Journal Article The relationship between fat mass and obesity-associated gene polymorphism and obesity among children in China: a systematic review and meta-analysisDong, Zhiyong, Islam, Sheikh Mohammed Shariful, Yu, Ashley M., Razi, Faraz, Gupta, Ramit Kumar, Moni, Mohammad Ali and Wang, Cunchuan (2019). The relationship between fat mass and obesity-associated gene polymorphism and obesity among children in China: a systematic review and meta-analysis. International Journal of Noncommunicable Diseases, 4 (4), 104-114. doi: 10.4103/jncd.jncd_43_19 |
